Discrimination of cultivation modes of Dendrobium nobile based on content of mineral elements and ratios of nitrogen stable isotopes.
10.19540/j.cnki.cjcmm.20221102.103
- Author:
Ming-Song LI
1
;
Jin-Ling LI
1
;
Zhi ZHAO
1
;
Hua-Lei WANG
1
;
Fu-Lai LUO
1
;
Chun-Li LUO
1
;
Ji-Yong YANG
2
;
Gang DING
2
;
Lang DENG
2
Author Information
1. College of Agriculture, Guizhou University Guiyang 550025, China Guizhou Key Laboratory of Medicinal Plant Breeding and Planting Guiyang 550025, China.
2. Chishui Xintian Chinese Medicine Industry Development Co., Ltd. Chishui 564700, China.
- Publication Type:Journal Article
- Keywords:
Dendrobium nobile;
discriminant analysis;
multivariate statistical analysis;
stable isotope
- MeSH:
Dendrobium;
Minerals;
Discriminant Analysis;
Multivariate Analysis;
Nitrogen Isotopes
- From:
China Journal of Chinese Materia Medica
2023;48(3):625-635
- CountryChina
- Language:Chinese
-
Abstract:
This study explored the feasibility of mineral element content and ratios of nitrogen isotopes to discriminate the cultivation mode of Dendrobium nobile in order to provide theoretical support for the discrimination of the cultivation mode of D. nobile. The content of 11 mineral elements(N, K, Ca, P, Mg, Na, Fe, Cu, Zn, Mn, and B) and nitrogen isotope ratios in D. nobile and its substrate samples in three cultivation methods(greenhouse cultivation, tree-attached cultivation, and stone-attached cultivation) were determined. According to the analysis of variance, principal component analysis, and stepwise discriminant analysis, the samples of different cultivation types were classified. The results showed that the nitrogen isotope ratios and the content of elements except for Zn were significantly different among different cultivation types of D. nobile(P<0.05). The results of correlation analysis showed that the nitrogen isotope ratios, mineral element content, and effective component content in D. nobile were correlated with the nitrogen isotope ratio and mineral element content in the corresponding substrate samples to varying degrees. Principal component analysis can preliminarily classify the samples of D. nobile, but some samples overlapped. Through stepwise discriminant analysis, six indicators, including δ~(15)N, K, Cu, P, Na, and Ca, were screened out, which could be used to establish the discriminant model of D. nobile cultivation methods, and the overall correct discrimination rates after back-substitution test, cross-check, and external validation were all 100%. Therefore, nitrogen isotope ratios and mineral element fingerprints combined with multivariate statistical analysis could effectively discriminate the cultivation types of D. nobile. The results of this study provide a new method for the identification of the cultivation type and production area of D. nobile and an experimental basis for the quality evaluation and quality control of D. nobile.
